Hypericum lydium Boiss. is a perennial plant of the Hypericaceae family, which has been used in particular to treat depression. The aim of this study was to determine in vitro antioxidant, antimicrobial activities, anticholinesterase (acetylcholinesterase (AChE)/butyrylcholinesterase (BChE)), antidiabetic activities (α-glucosidase/α-amylase) and Tyrosinase inhibitor activity of methanol and water extracts of H. lydium. Also, gene expression has been evaluated in the shoot and root by microarray technology. So, in general, the purpose of this study is to study the active molecules such as antioxidant, antimicrobial, antidiabetic, enzymes and genes in the plant, which is the first to be reported. The experiments were conducted in a completely randomized design with three replications. In addition, gene expression was compared in the shoot and root parts. Expression profiling was carried out by microarrays. According to the results, the highest chemical components were determined in methanol extract rather than water extract. There was a difference between the obtained components. While the highest antioxidant activity was determined from the methanol extract of plant herbs for DPPH Free Radical Scavenging Activity, antioxidant activity was the same in both methanol and water extracts using the ABTS method. The methanol extract demonstrated stronger anticholinesterase (AChE and BChE) and α-amylase inhibition activity. This study was complemented by the detection of antioxidant activity and some enzyme inhibition activity in the methanol extract. Microarray showed 10,784 genes had significantly different expression in root and shoot. There was a positive effect of methanol extract in respect of different activities compared to the water extract. Gene expression showed that the number of expressed genes in the root was greater than the shoot.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11033-019-04664-3DOI Listing

Publication Analysis

Top Keywords

methanol extract
20
gene expression
16
methanol water
12
water extracts
12
activity methanol
12
antioxidant activity
12
vitro antioxidant
8
methanol
8
hypericum lydium
8
antioxidant antimicrobial
8

Similar Publications

Background And Purpose: species are well-known antifungal medicinal plants. (Apiaceae family) is a rarely investigated plant endemic to Iran. The present study aimed to assess the antifungal, antibacterial, antioxidant, and cytotoxic activities of root extracts of different plants.

View Article and Find Full Text PDF

The study aims to evaluate the Quorum Sensing (QS) system inhibition against some Gram-positive and Gram-negative bacteria detected by molecular modeling of R. cathartica L. plant extract.

View Article and Find Full Text PDF

evaluation of anti-microbial efficacy of and its constituents on oral biofilms.

J Indian Soc Periodontol

December 2024

Department of Periodontics, Dr. Harvansh Singh Judge Institute of Dental Sciences and Hospital, Panjab University, Chandigarh, India.

Background And Objective: The extracts obtained from the leaves and seeds of (Fenugreek) are effective against various microbial infections. The phytoconstituents of have shown promising effects as anti-diabetics, anti-helmentic, anti-microbial, antifungal, and antipyretic, but its impact on oral pathogens is yet to be established. Therefore, the present study aimed to explore the antimicrobial efficacy of phytoconstituents of as compared to 0.

View Article and Find Full Text PDF

Development and thorough evaluation of a multi-omics sample preparation workflow for comprehensive LC-MS/MS-based metabolomics, lipidomics and proteomics datasets.

Talanta

December 2024

Hyphenated Mass Spectrometry Laboratory, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia; School of Life Sciences, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia.

The importance of sample preparation selection if often overlooked particularly for untargeted multi-omics approaches that gained popularity in recent years. To minimize issues with sample heterogeneity and additional freeze-thaw cycles during sample splitting, multiple -omics datasets (e.g.

View Article and Find Full Text PDF

Background: The global prevalence of diabetes among adults over 18 years of age is expected to increase from 10.5% to 12.2% (between 2021 and 2045).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!